1
William H. Gates III
Christopher D Payne, Eric J Horvitz, Alexander G Gounares, Susan T Dumais, Kyle G Peltonen, Gary W Flake, Xuedong D Huang, William H Gates III, John C Platt, Oliver Hurst Hiller, Joshua T Goodman, Christopher A Meek, Ramez Naam, Raymond E Ozzie, Eric D Brill: Entity-specific search model. Microsoft Corporation, Hope Baldauff Hartman, October 26, 2010: US07822762 (7 worldwide citation)

A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to g ...


2
William H. Gates III
Raymond E Ozzie, Eric J Horvitz, William H Gates III, Joshua T Goodman, Susan T Dumais, Gary W Flake, Trenholme J Griffin, Xuedong D Huang, Oliver Hurst Hiller, Christopher A Meek: Architecture for user- and context-specific prefetching and caching of information on portable devices. Microsoft Corporation, Lee & Hayes PLLC, January 7, 2014: US08626136 (5 worldwide citation)

Content management architecture for a portable wireless device. Caching and fetching techniques are provided to improve content handling for portable devices such as cellular telephones and portable computers. A search component automatically performs searches as a background process, and potentiall ...


3
William H. Gates III
Raymond E Ozzie, Eric J Horvitz, William H Gates III, Joshua T Goodman, Susan T Dumais, Gary W Flake, Trenholme J Griffin, Xuedong D Huang, Oliver Hurst Hiller, Christopher A Meek: Desktop search from mobile device. Microsoft Corporation, Lee & Hayes PLLC, January 18, 2011: US07873620 (3 worldwide citation)

Content management architecture for a portable wireless device. Caching and fetching techniques are provided to improve content handling for portable devices such as cellular telephones and portable computers. A search component automatically performs searches as a background process, and potentiall ...


4
William H. Gates III
Xuedong D Huang, William H Gates III, Eric J Horvitz, Joshua T Goodman, Bradly A Brunell, Susan T Dumais, Gary W Flake, Trenholme J Griffin, Oliver Hurst Hiller: Targeted advertising in brick-and-mortar establishments. Microsoft Corporation, Dan Choi, Carole Boelitz, Micky Minhas, May 13, 2014: US08725567 (2 worldwide citation)

Architecture for presenting advertisements in realtime in retail establishments. A sensor component includes sensors for collecting information about a customer or group of customers as they move through the store. The sensors can include capability for image processing, audio processing, light sens ...


5
William H. Gates III
Susan T Dumais, William H Gates III, Srikanth Shoroff, Michael Ehrenberg, Jensen M Harris, Richard J Wolf, Joshua T Goodman, Eran Megiddo: Providing a task description name space map for the information worker. Microsoft Corporation, Holly Nguyen, Carole Boelitz, Micky Minhas, April 15, 2014: US08700385

Providing for generation of a task oriented data structure that can correlate natural language descriptions of computer related tasks to application level commands and functions is described herein. By way of example, a system can include an activity translation component that can receive a natural ...


6
William H. Gates III
Eran Megiddo, Joshua T Goodman, Jensen M Harris, Susan T Dumais, Michael V Ehrenberg, Srikanth Shoroff, William H Gates III: Communication workspace. Microsoft Corporation, Dan Choi, Carole Boelitz, Micky Minhas, July 15, 2014: US08782179

Multiple pieces of information can be arranged into a single construct that allows the employee to ascertain information quickly while at her workstation. Selection of information for placement into the construct can employ various statistical models and the like. Selective pieces of information can ...


7
William H. Gates III
Susan T Dumais, William H Gates III, Srikanth Shoroff, Michael Ehrenberg, Jensen M Harris, Richard J Wolf, Joshua T Goodman, Eran Megiddo: Providing a task description name space map for the information worker. Microsoft Corporation, Turocy & Watson, October 8, 2009: US20090254336-A1

Providing for generation of a task oriented data structure that can correlate natural language descriptions of computer related tasks to application level commands and functions is described herein. By way of example, a system can include an activity translation component that can receive a natural ...


8
William H. Gates III
Eran Megiddo, Joshua T Goodman, Jensen M Harris, Susan T Dumais, Michael V Ehrenberg, Srikanth Shoroff, William H Gates III: Communication workspace. Microsoft Corporation, Turocy & Watson, October 8, 2009: US20090254390-A1

Multiple pieces of information can be arranged into a single construct that allows the employee to ascertain information quickly while at her workstation. Selection of information for placement into the construct can employ various statistical models and the like. Selective pieces of information can ...


9
Eric Horvitz, David E Heckerman, Susan T Dumais, Mehran Sahami, John C Platt: Technique which utilizes a probabilistic classifier to detect "junk" e-mail by automatically updating a training and re-training the classifier based on the updated training set. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, December 12, 2000: US06161130 (703 worldwide citation)

A technique, specifically a method and apparatus that implements the method, which through a probabilistic classifier (370) and, for a given recipient, detects electronic mail (e-mail) messages, in an incoming message stream, which that recipient is likely to consider "junk". Specifically, the inven ...


10
Scott C Deerwester, Susan T Dumais, George W Furnas, Richard A Harshman, Thomas K Landauer, Karen E Lochbaum, Lynn A Streeter: Computer information retrieval using latent semantic structure. Bell Communications Research, James W Falk, John T Peoples, June 13, 1989: US04839853 (370 worldwide citation)

A methodology for retrieving textual data objects is disclosed. The information is treated in the statistical domain by presuming that there is an underlying, latent semantic structure in the usage of words in the data objects. Estimates to this latent structure are utilized to represent and retriev ...



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